Violent street gangs are a major cause of criminal activity in the United States [1]}. In this paper, we present a new piece of software, Organizational, Relationship, and Contact Analyzer (ORCA) that is designed from the ground-up to apply new techniques in social network analysis and mining to support law enforcement. In particular, we look to enable improved intelligence analysis on criminal street gangs. The software combines techniques from logic programming, [2]} viral marketing, [3]}, [4]} and community detection [5]}, [6]} in a usable application custom-tailored for law enforcement intelligence support. This work is inspired by recent work in law enforcement that recognizes similarities between gang members and insurgents and identifies adaptations that can be made from current counter-insurgency (COIN) strategy to counter gang violence. [1]}, [8]} Due to the striking similarities between gang-violence and COIN, the authors from the U.S. Military Academy (West Point) responded to requests from a major metropolitan police department to transition recent social network mining software. As a result, several West Point cadets were able to not only conduct research, but also gain a better understanding of a COIN environment.
